A High-Order Infective Countermeasure Framework

Barbu, Guillaume; Bettale, Luk; Castelnovi, Laurent; Chabrier, Thomas; Debande, Nicolas; Giraud, Christophe; Reboud, Nathan

doi:10.1109/fdtc53659.2021.00012

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…Zhao et al [182] Sandboxing framework using a fault signature table. Barbu et al [183] Diffusion function for non-invertibility and randomness. Cotroneo et al [184] Run-time monitoring approach.…”

Section: Defenses Against Injection Attackmentioning

confidence: 99%

“…Barbu et al [183] proposed a countermeasure framework against fault injection attacks to protect symmetric cryptosystems implementations. The framework relied on a good diffusion function having properties like non-invertibility and randomness that was achieved by using a Hash function with counter, chained block cipher, and random linear function.…”

Section: Defenses Against Injection Attackmentioning

confidence: 99%

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An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta¹,

Maple²

2023

Preprint

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<p>Edge Computing-based Connected Autonomous Vehicles (EC-CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations to transportation ecosystems can bring manyfold benefits from fully autonomous driving services to proactive vehicle monitoring and traffic management. Given the complexity involved in the deployment of EC-CAVs, zero-tolerance safety and security measures must be incorporated to avert vehicle immobilization, road accidents, disclosure of sensitive data, or any potential threats. This paper presents a reference architecture of EC-CAVs to investigate existing and emerging cyber-threats for deriving a common attack taxonomy for the EC-CAVs ecosystem. Subsequently, a comprehensive survey of security mechanisms is presented that can ensure safe and secure transportation of passengers from one destination to another using an EC-CAVs ecosystem.</p>

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Section: Defenses Against Injection Attackmentioning

confidence: 99%

Section: Defenses Against Injection Attackmentioning

confidence: 99%

An investigation of cyber-attacks and security mechanisms for connected and autonomous vehicles

Gupta¹,

Maple²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Barbu et al [122] propose a countermeasure framework against fault injection attacks to protect symmetric cryptosystem implementations. The framework relies on a good diffusion function having properties like non-invertibility and randomness that is achieved by using a Hash function with a counter, a chained block cipher, and a random linear function.…”

Section: ) Defenses Against Injection Attackmentioning

confidence: 99%

An Investigation of Cyber-Attacks and Security Mechanisms for Connected and Autonomous Vehicles

Gupta,

Maple,

Passerone

2023

IEEE Access

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Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits, from fully autonomous driving services to proactive vehicle monitoring and traffic management. However, given the complexity involved in the deployment of CAVs, zero-tolerance safety, and security measures must be incorporated to avert vehicle immobilization, road accidents, disclosure of sensitive data, or any potential threats. In this article, we conceive a reference architecture for a CAVs ecosystem to derive a common attack taxonomy for the investigation of existing and emerging cyber threats. Subsequently, we discuss security mechanisms for the CAVs ecosystem that can be useful for the safe and secure transportation of passengers from one destination to another based on comprehensive studies of academic literature and industry white papers. Our work can provide valuable insights to security engineers and system architects for investigating security problems using a top-to-bottom approach and can aid in envisioning robust security solutions to ensure seamless CAVs operations.

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